Temporal Crop Performance Analysis

Temporal Crop Performance Analysis is a methodological framework within agricultural data science that enables the systematic evaluation of crop productivity dynamics over time by integrating longitudinal yield measurements with environmental and management variables to identify temporal patterns, anomalies, and performance trends at field to regional scales.

18

Publications

661

Citations

68

Authors

34

Institutions

Publications per year

2017–2026

7

Authors

68

  1. KW
    Ke Wang

    Beijing Institute of Technology, China

    1 publications · 95 citations

    1

    h-index

  2. DJ
    D. J. Sammons

    University of Maryland, College Park, United States

    1 publications · 12 citations

    1

    h-index

  3. UT
    Usha Tuteja

    1 publications · 14 citations

    1

    h-index

  4. MS
    Murari Singh

    International Center for Agricultural Research in the Dry Areas, Syria

    1 publications · 11 citations

    1

    h-index

  5. GR
    G. R. Harch

    New South Wales Department of Primary Industries, Australia

    1 publications · 34 citations

    1

    h-index

1–5 of 68

Venues

  1. Australian Journal of Agricultural Research

    2 publications · 47 citations

    2

    h-index

  2. Plant Methods

    1 publications · 127 citations

    1

    h-index

  3. AgEcon Search (University of Minnesota, USA)

    Repository · 1 publications · 14 citations

    1

    h-index

  4. Economic Affairs

    1 publications · 10 citations

    1

    h-index

  5. Hydrology research

    1 publications · 40 citations

    1

    h-index

1–5